Artificial intelligence (AI) is evolving autonomous driving, enabling commercial availability of semi-autonomous cars and advancing self-driving vehicles.
AI, machine learning, and neural networks are improving driving experience, vehicle’s safety, efficiency, and performance.
AI in automotive is in the early stage of development. The further advancements of AI-based autonomous cars will be concentrated on the building of safe and robust automated systems.
Automotive AI-related collaborations, partnerships, and acquisitions in the future will be accelerated globally.
Join the subject-matter experts at the #VLAIauto 2023 to explore the next generation AI for automated and self-driving vehicles.Read more
Automotive artificial intelligence (AI) is one of the most trending topics now in the automotive industry, complimenting autonomous driving subjects.
AI in automotive is in the early stage of development, therefore the corresponding questions have arisen:
AI in automated vehicles better recognises pedestrians’ and drivers’ behaviour, traffic patterns, and road and weather conditions, enabling important automobilism and vehicle functions such as:
There are many applications of AI in the automotive industry:
Better driving experience, vehicle’s safety, efficiency, and performance relies heavily on the combination of:
Currently AI in automotive has already been implemented for
The recent developments of smart automotive is determined by environmental perception, where driver's decision-making is heavily depends on:
Autonomous driving cars with embedded computer technology and connectivity provide the complex functions:
Highly accurate autonomous driving will be enabled by a balanced combination of:
AI is evolving autonomous driving, enabling commercial availability of semi-autonomous cars and advancing self-driving vehicles.
Future breakthroughs in AI automotive are expected to solve even more complex problems of automated driving, electric vehicles, and software-first automotive companies such as Tesla and Uber.
The further development of autonomous cars will be concentrated on the building of safe and robust automated systems.
Automotive AI-related collaborations, partnerships, and acquisitions will be accelerated in the future globally, since OEMs started actively looking for innovative technologies providers in order to stay ahead of competition.
With the key stakeholders in automotive at the #VLAIauto we will explore the next generation AI for automated and self-driving cars
Join the experts at the 2nd AI Automotive Summit on April 27-28, 2023.
See you at #VLAIauto!
Chief Executives, Directors, Vice Presidents, Department Heads, Leaders, and Managers specialising in:
Andrew Grant is an AI expert and leads on AI at PE/VC advisory partnership Dx3, (dx-cubed.com) as a partner specialising in AI. He advises on AI and digital transformation, automation and XAI, and generative AI.
He was recently senior director of AI at chip designer Imagination Technologies, where he was responsible for strategic business development for the neural network accelerator (NNA) and worked across GPU, CPU, and NNA for automotive clients.
As an AI thought leader and keynote speaker with 12-plus years of AI experience, having chaired UCL startup Satalia for seven years (Gartner cool vendor in data science, acquired by WPP plc in 2021) and then at Imagination Technologies (3.5 years), where he developed the multi-core strategy for the award-winning NNA and development for autonomous vehicles and Edge AI.
Prior to this, Andrew ran spinouts from UCL and CERN. He has also worked with UCL School of Management (designing their IMB course) and WPP (as head of strategy for digital transformation for SABMiller) and has completed innovation projects on the future of automotive, aviation, retail, and the IoT. At BT plc he led marketing for the UK launch of broadband, later working with BT Labs and holding roles as CIO of business and head of technology strategy.
As a keynote speaker (and moderator) he has presented in the USA (AI Hardware Summit – Silicon Valley), across Europe, and in Shanghai, Beijing, Shenzhen, Tokyo, and Taipei.
He also represented UK AI for the InnovateUK Global Expert Mission on AI to Germany and is a published contributor to the APPG on AI (UK All-Party Parliamentary Group on Artificial Intelligence).
Eduard Dojan has been working on functional safety with a focus on software development for over 12 years now. In his current position, he is responsible for the software and artificial intelligence product group at SGS-TÜV Saar. As a qualified computer scientist with 18 years of professional experience in the automotive sector, Eduard worked on tasks involving technical, in-depth analysis and set standards for software products and processes in automotive applications. In addition, Eduard worked as a safety manager in all areas of functional safety in the automotive sector and is represented in committees for functional safety and artificial intelligence.
Kathrin Kind-Trueller started her career in 1999 in the quality engineering of international communication mobile networks at Siemens. Later on, she developed complete vehicle functions for ADAS, engine management, steering, braking, cockpit infotainment, and autonomous driving at several automotive suppliers such as Bosch, ZF-TRW, and Magneti Marelli, and at automotive OEMs such as BMW in Munich, Mercedes Benz Cars in Sindelfingen, and Audi in Ingolstadt. She was a senior research scientist in AI for the Volkswagen Group in Wolfsburg. She currently is the chief data scientist and AI assistant director for Cognizant in the Nordics.
She has a doctorate in AI applied to business, from SSBM Geneva and the faculty of business from the University of Zagreb, an MBA in AI from the University of Cumbria, an MSc. in computer science and software engineering from the University of Hertfordshire, and a master of arts in leading innovation and change from York St. John.
Aleksander Spychala is an automotive ADAS engineer for Ford Motors. Aleksander graduated from the University of Southampton, UK, in 2015 with a master's degree in mechanical engineering/mechatronics as a scholar of the Fahrenheit Scholarship awarded by the mayor of his hometown Gdansk, Poland. Having completed engineering internships in Kenya and England, Aleksander joined Ford in Cologne, Germany, and became the predictive dynamic bending light feature's owner. In that role, as well as his current position at Ford's ADAS department, Aleksander began employing AI methods to improve the on-road performance of intelligent lighting features. In 2022, he also commenced a degree in human technology in sports and medicine at the German Sport University in Cologne.
Mohammad founded Deepen AI in 2017 to solve critical bottlenecks preventing faster adoption of autonomy and robotics products. He was a product strategy manager for Google Apps, now part of Google Cloud Platform.
Rowan McAllister works on machine learning methods for autonomous vehicle planning at Waymo in California. Originally from Australia, Rowan received his PhD at the University of Cambridge in machine learning and previously worked on autonomous vehicle research at Uber, the University of California Berkeley, and Toyota Research Institute.
Murat Erdogan is the current head of confirmation measures at Veoneer for their entire product portfolio, including camera, radar, ADAS (brain) fusion, LiDAR, and restraint control systems. In 2010, he finished his master´s in electrical engineering at the University of Kassel. For two years he was a scientific officer at Fraunhofer IESE in Kaiserslautern, and then in 2014 he joined EFS GmbH as safety engineer. In 2016-17, he was the technical lead safety manager for Visteon in a high-complex body domain controller project, which he led successfully with a global OEM.
After having satisfied his mission with the safety engineering activities, he decided to move to a more strategic and international challenge. In 2017, he took the line manager position for functional safety managers in Autoliv for the vision product line, which was spined-off and moved to Veoneer in 2018. During this time, he was appointed as Autoliv`s lead safety line for Sweden and after starting Veoneer he was assigned as the global head of safety management, which he did until starting his new role from scratch. He is one of the seven appointed international experts of Sweden for several standards, among them ISO 26262, ISO TS 5083, and ISO PAS 8800. He regularly joins conferences and presents new ideas, processes, and methods from the knowledge that he gains by research to which he has a high interest.
Dr. Dalong Li is director of applied data science at Torc Robotics. In his current role, he leads teams to work on data centric AI to support self-driving truck software development. He is the first one to introduce SVMs into image processing and published his work at IEEE Transactions on Neural Networks. He earned a PhD degree from Georgia Institute of Technology. He has more than 20 US patents in the areas of image processing, computer vision, and machine learning during his employment with HP, Motorola, Continental, Stellantis and Torc Robotics.
As CTO of NNG, Martin Pfeifle is leading NNG’s innovation activities around Connected Navigation, Cloud, and ADAS applications. Before, Martin was leading Visteon’s environmental perception activities with a focus on sensor fusion. Martin and his team delivered the environment model that will be the basis for the decision-making of Visteon’s autonomous driving approach. Martin is also responsible for digital maps, localization, and positioning, working on all matters concerned with how the vehicle understands where it is and what is going on around it. With more than 40 patents to his name, Martin is an expert in NDS and ADAS databases and applications, as well as data mining and sensor fusion. He is based in Karlsruhe, Germany. Before joining Visteon, Martin worked at the universities of Munich and Heidelberg as a researcher and temporary professor in the area of data mining on spatial, temporal, and uncertain data. For more than 10 years, he has worked in the area of infotainment and ADAS for Continental and for HERE, the leading digital map provider.
Divya is an engineer and researcher working in the autonomous vehicle and robotics industry. She has secured 12 patents in autonomous driving and has seen first-hand the progress being made toward making self-driving cars a reality at Nio and Delphi. Her most recent work at Nio was published at the IEEE International Conference for Robotics and Automation 2020. She is currently working as a roboticist at Facebook. Divya is speaking in a personal capacity and any views expressed are her own.
Jamie Smith has over 25 years of embedded design and test and measurement experience in safety-critical industries. He is currently the VP of products for safety-critical systems at Imandra. They provide development and testing tools for safety-critical systems based on formal methods and symbolic AI. He spent most of his career at National Instruments (now NI), where Jamie led the automotive research and development team and industrial internet of things (IoT) group. Jamie earned a MSc in applied physics from Stanford (USA) and a bachelor's in physics from UC Santa Barbara (USA). He frequently speaks at autonomous vehicle and industrial IoT conferences.
Jan Lange is a senior defensive security expert at CARIAD SE, a Volkswagen Group company. He is currently focussed on building an end-to-end solution for defensive security operations spanning both the vehicle fleet and connected backend systems, bringing much needed defensive security capabilities into the automotive world. Before joining CARIAD in January 2021, he worked for several years in the insurance industry for Allianz Deutschland’s incident response and vulnerability management teams, one of Germany’s largest companies. Parallel to his employment at Allianz he completed his master’s degree in IT security, focussing on memory forensics and contributing to the Volatility memory analysis framework. He is a committed member of the blue team by heart and is supporting CARIAD’s vision to build the most security mobility products.
Born in Munich Dr. Jens Henkner was studying Aerospace Engineering at the Technical University Munich. After his studies completed, he served as assistant professor and finished his PhD thesis in aerospace engineering in 1999. Jens served since then more than 20 years as senior technology executive with influential leadership in different areas. Starting his professional career at Fairchild Dornier in Oberpfaffenhofen as head of the flight physics team for the Do 728, he became chief engineer for the whole 70-seater jet aircraft development program later on. He joined Airbus in 2003 as VP and chief engineer for the A330/340 program ensuring the safety of the flying fleet. Further positions at Airbus included the program management for the A350 carbon fibre fuselage and SVP for freighter conversion centre at the Airbus subsidiary EFW in Dresden. Jens Henkner joined Suzlon in 2010 as VP for Program Management and Product Policy and as of 2012 as President Technology and MD of Suzlon Energy GmbH heading the technology and the program management teams of the Indian wind turbine OEM in India, Germany, The Netherlands and Denmark. In 2018 he co-created CertX the first Swiss certification body for functional safety and security located in the canton of Freiburg (Fribourg) close to Bern. Jens is 56 years old and in his free time he enjoys all kind of mountain sports.
Dr. Stefan Nürnberger is an exceptionally qualified and experienced expert in automotive software, having both successfully published numerous papers and founded the cutting-edge company 'VEECLE', which is revolutionizing the automotive industry. He's a professor gone startup. In his professor and research life, he published numerous papers at the world's best venues and won international prizes for it. He founded VEECLE, a modern vehicle OS and automotive software stack written in the secure language RUST, enabling carmakers to deliver on the promise of future mobility such as autonomous driving and ride-hailing and personal profiles in every car. Technologies that are only possible based on a software-defined car, based on VEECLE.
Since 2008, Shashank Pathak has been involved with artificial intelligence for robotics. He has a doctorate on safe reinforcement learning from IIT Genova and post-doctoral stays in computer science at the University of Oxford and at Technion in Israel. He has been an AI architect at Visteon and there after moved to ZF, where he was a perception architect and then chief architect for s/w features for overall mobility. He currently also looks into mobility product strategy. Shashank has won numerous industry and academia awards and has been co-founder of Adorithm that had successfully exited.
Dr. Kirsten Matheus is an engineer and economist. She has worked in the automotive industry since 2003, and been with BMW since 2009. At BMW she is responsible for the strategy for the in-vehicle networking technologies. This entails ensuring the availability of suitable in-vehicle networking technologies ahead of time. In this context she successfully introduced ethernet as a networking technology into the automotive industry. In her opinion, only open standards provide the basis for long-term sustainability of networking technologies. She and her former colleague Thomas Königseder describe their experiences, background, and technical concepts behind the use of ethernet in the automotive industry in a book titled “Automotive Ethernet”. Her new book, co-authored by her colleague Michael Kaindl, “Automotive High Speed Communication Technologies, SerDes and Ethernet for Sensor and Display Applications”, was published in autumn 2022.
Felix Roider is a defensive security engineer at the SecOps team of CARIAD SE, a Volkswagen Group company. He is responsible for developing the security operations backend, creating threat detection rules and responding to security incidents. The scope of his duties include enterprise IT, automotive backends, and the vehicle fleet. He contributes his experience from modern IT security practices to the automotive field. Before joining CARIAD, Felix worked in the security operation centre of Airbus to secure both enterprise and production networks. He holds a master's of engineering degree in cyber security from the Deggendorf Institute of Technology. Being both a car enthusiast and blue teamer, he is committed to secure the future of automotive mobility with CARIAD.
Barnaby Simkin is leading NVIDIA’s strategic engagement with regulatory bodies and trade associations on topics related to AI and assisted/automated driving, with a particular focus on supporting the development of regulations and test protocols at UNECE, EU, and Euro NCAP. In these forums, Barnaby helps lead the discussion on key technologies for the future, like virtual testing and direct driver monitoring. Barnaby also coordinates the delivery of work products that enable NVIDIA’s automotive customers to obtain type approval for ADAS and automated driving systems across all major markets. Specifically, focussing on safety, the role of AI, and how synthetic data may be used in training and testing AI-based systems.
Dr. Zohaib Mian is an experienced aerospace and autonomous systems executive. Zohaib is currently the head of engineering and chief engineer for space products at Astra (NASDAQ: ASTR). Zohaib’s recognised expertise lies in autonomous systems, complex aerospace design, machine intelligence, and multi-disciplinary stochastic design methodologies. Previously, he was the VP of product development and engineering at Velodyne Lidar (NASDAQ: VLDR), where he led the team, renowned worldwide for its portfolio of breakthrough lidar sensor technologies, to enable the next generation of intelligent aircraft, automobiles, and robots. Prior to that, he was the head of systems engineering at Loon (an Alphabet/Google company), which was an audacious project to provide connectivity through stratospheric balloons. Zohaib has also played leading roles in a number of industry-leading advanced autonomy and machine intelligence programs, including joint Bosch-Mercedes autonomous driving project, autonomous and intelligent systems and human-centred robotics initiatives at United Technologies Research Center, and Army Research Laboratory – Vehicle Technology Directorate's Micro Autonomous Systems and Technologies (MAST) project.
Zohaib holds a PhD in aerospace engineering from Georgia Tech and is an active private pilot.
Hesham Eraqi is a senior scientist at Amazon in Seattle (USA) with the worldwide last mile geospatial machine learning science team. Prior to joining Amazon, in 2018 he was appointed as Valeo senior expert of artificial intelligence and deep learning, which is a technical director level position where he led the technology development across all the product lines of Valeo comfort and driving assistance systems (CDA). He worked at Valeo from 2012-21 on products for several carmakers (OEMs) worldwide, including algorithms in the Honda Legend, which is the world’s first road-legal level 3 autonomous car with Japan certification in 2021. Hesham has been an adjunct assistant professor at The American University in Cairo (Egypt), where he has been working on many research projects applying machine and deep learning methods to computer vision, robotics, and other applications since 2010. He has five filed patents and over 40 articles published in top IEEE and ACM journals and conferences in his area and has been serving as the chairperson, editor, and program committee at top venues in the field, including NeurIPS/ICCV/ECCV/ICRA/ICML workshops. Hesham has been the founding CTO, general manager, and a board member of Nahdet Misr AI startup (partnered with Disney, developing AI-powered EdTech products, including two apps ranked since 2021 in Google Play top ten charts), an advisory board at EdVentures (the fastest-growing EdTech venture capital in MENA), and an advisor for other AI startups. He received a PhD degree in computer science and engineering from The American University in Cairo (Egypt) in 2020 with the highest honours.
David Schie is the CEO of AIStorm, a Silicon Valley based analog AI startup. AIStorm is focused on bringing the advantages of its AI-in-sensor technology to the market, providing standard AI architectures without the requirement for digitizing vast amounts of input data. AIStorm delivers fully integrated solutions including sensors and AFE (e.g., LiDAR SPAD, SiPM, CIS, mirror driver, mirror, biasing, etc., as well as biometric and failure analysis AI solutions), which are provided as semi-custom solutions for its customers. Key investors in AIStorm include Egis Technology, Tower Semiconductor, Meyer Corporation, and Linear Dimensions Semiconductor. David was educated at the University of Toronto in analog IC design and has held several high-level management positions up to Sr. VP with responsibilities including product definition, engineering, and P/L for leading companies including Maxim, Micrel, and Semtech.
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Artificial intelligence in the automotive industry is a subject everyone is talking about. I feel honored to attend this trending summit and to meet personally the flagship professionals, working with the AI in automated driving, as well as experts dealing specifically with sensors and electronics. Congratulations to Vonlanthen for the well organization of the summit.
Which new AI applications in automotive could we accept, and what is a current experience of automotive AI adoption? These questions for me are the key, and I got many insights, which will influence my company roadmap next year. I had a chance to meet here many partners we were dealing with before, as well as new industry players. It was very pleasant experience. I will be glad to attend the AI Automotive Summit again.
I liked the topics, the invited speakers and the lively comfortable atmosphere. I found the AI Automotive conference very useful to learn, explore and to create new connections. In my opinion, and the opinion of my colleagues, this inaugural conference was a great success, we are very looking forward to the next edition. Wishing Vonlanthen to continue growing their horizons.